Error Convergence Analysis and Stability of a Cloud Control AGV

TL;DR

This paper analyzes the stability and error convergence of a cloud-controlled AGV system, focusing on the effects of uplink outages and feedback parameters, and provides optimal parameter settings for different velocity constraints.

Contribution

It introduces a stability analysis framework for cloud-based AGV control systems considering uplink outages and derives optimal feedback parameters for error convergence.

Findings

Error converges faster with optimal feedback parameters.

Optimal parameters achieve critical damping in error convergence.

Stability criteria are evaluated under velocity constraints.

Abstract

In this paper, we present a cloud based Automated Guided vehicle (AGV) control system. A controller in an Edge cloud sends the control inputs to an AGV to follow a predefined reference track over a wireless channel. The AGV feedback the position update via uplink channel. The objective of this paper is to evaluate the stability criterion of an AGV control system in presence of an uplink channel outages. Moreover, we also analyse the impact of feedback control parameters on the error convergence. The results show error convergence at higher rate with optimal selection of feedback parameters. The optimal feedback parameters that converges the error with critical damping is evaluated for two scenarios; with limited AGV velocity and without the limitation on AGV velocity. Furthermore, the paper describe the discretization process of a continuous control AGV system.